基于压力反馈系统的气道狭窄数值模拟研究OA

Addressing the critical limitation of traditional computational fluid dynamics(CFD)simulations in evaluating airway ste-nosis—specifically,the neglect of the alveolar pressure feedback mechanism.We developed a multi-scale numerical model based on dynamic alveolar pressure feedback.Utilizing a 0D-3D coupling strategy,the model integrated three-dimensional upper airway geome-try with lumped parameter models representing the peripheral lung units,successfully replicating the physiological feedback inherent in spontaneous breathing.The simulation results accurately captured core pathophysiological phenomena,including"pendelluft"(22.2 mL reflux per cycle)and the dynamic accumulation of intrinsic positive end-expiratory pressure(PEEPi,steady-state value:6.97 Pa),alongside a marked reduction in breathing efficiency.Furthermore,we mechanistically revealed that pressure imbalance,driven by regional heterogeneity in time constants,was the key factor deteriorating respiratory function.This research provides an innovative numerical simulation framework for the functional assessment of airway stenosis and personalized treatment planning.